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This study aims to further investigate the relationship between perceived adherence to gender norms and binge drinking in college students. Thus, researchers examined college students’ perceptions of adherence to masculine and feminine gender norms when gender and alcohol consumption of a vignette character were manipulated.

Undergraduate participants (N = 368) were randomly assigned to one of four vignette conditions: female moderate drinker, female binge drinker, male moderate drinker, male binge drinker and then surveyed regarding perceptions of the vignette character.

The results of this study indicate that there are significant relationships between the vignette character’s alcohol consumption and perceived adherence to feminine gender norms. The character’s gender, as well as the participant’s own alcohol consumption patterns, also related to perceived adherence to feminine gender norms.

College students’ perceptions of binge drinkers are influenced by gender norms, which has important implications for safe consumption of alcohol. When young men (or young women) are encouraged to drink to avoid appearing too feminine, negative consequences may be more likely. In this study, perceptions of the vignette character’s safety were also found to be related to alcohol consumption of the vignette character, as well as the alcohol consumption of the participant, suggesting that a heavy drinker might not show as much concern for another’s heavy consumption.

The eco-innovation is considered one of the possible ways to tackle climate change. However, the conflicting empirical evidence related to the role of eco-innovation on environmental quality becomes a motivation to explore the effect of eco-innovation on environmental degradation proxied by ecological footprint. Besides, it controls economic growth, remittance inflows, trade openness and total energy consumption in the environmental degradation function.

Uses the Augmented Auto Regressive Distributed Lag (AARDL) approach to examine the cointegration relation among the series during the period ranging from 1975 to 2017 for India within the environmental Kuznets curve (EKC) framework.

The result suggests that eco-innovation can mitigate climate change by reducing the ecological footprint. Similarly, economic growth reduces the ecological footprint in the short- and long-run. However, the square of economic growth is positive and significant. Thus, it shows evidence against the conventional EKC hypothesis. The results also reveal that remittance inflows have an insignificant negative role on the ecological footprint, while total energy consumption and trade openness harm the environment by enhancing the ecological footprint.

This study provides important implications for climate change mitigation. Thus, the government should promote eco-innovation to mitigate climate change by offering a favorable legal environment to the firms to adopt the same in their production and consumption activities. It also suggests that initiatives like green strategies should give serious attention while incurring research expenditure.

No prior studies assess the impact of eco-innovation on the ecological footprint for the period of 1975–2017 in India.

This study scrutinizes the impact of economic globalization on ecological footprint while endogenizing economic growth and energy consumption during 1990–2018 in India.

For time series analysis, the standard unit root test has been employed to unveil the integration order. Then, the cointegration was confirmed using autoregressive distributed lag (ARDL) analysis. Further, the study executed the dynamic ARDL simulation model to estimate long-run and short-run results along with simulation and robotic prediction.

The cointegration analysis confirms the existence of a long-run association among variables. Further, economic globalization reduces the ecological footprint in the long-run. Similarly, energy consumption decreases the ecological footprint. In contrast, economic growth spurs the ecological footprint in India.

The present study makes valuable and original contributions to the literature by applying a multivariate ecological footprint function, assessing the impact of economic globalization on ecological footprint while considering economic growth and energy consumption in India.

Every employee embodies manifestations of every demographic that attach to him or her different minority and majority statuses at the same time. As these statuses are often related to organizational hierarchies, employees frequently hold positions of dominance and subordination at the same time. Thus, a given individual’s coping strategies (or coping behavior) in terms of minority stress due to organizational processes of hierarchization, marginalization, and discrimination, are very often a simultaneous coping in terms of more than one demographic. Research on minority stress mostly focuses on single demographics representing only single facets of workforce diversity. By integrating the demographics of age, disability status, nationality, ethnicity, race, sexual orientation, and religion into one framework, the intersectional model proposed in this chapter broadens the perspective on minorities and related minority stress in the workplace. It is shown that coping with minority stress because of one demographic must always be interpreted in relation to the other demographics. The manifestation of one demographic can limit or broaden one’s coping resources for coping with minority stress because of another dimension. Thus, the manifestation of one demographic can determine the coping opportunities and coping behavior one applies to situations because of the minority status of another demographic. This coping behavior can include disclosure decisions about invisible demographics. Therefore, organizational interventions aiming to create a supportive workplace environment and equal opportunities for every employee (e.g., diversity management approaches) should include more demographics instead of focusing only on few.

Traditional network management tools (NMT) are centralised in nature, as a result of which they are not flexible enough when large control network (e.g. SCADA network) design is desired for. In this paper conventional NMTs have been segmented into components with unified and dedicated functions. Each component has been configured as a client with regard to a central database (i.e. server). The components co‐operate with other components. The work includes the design of flexible NMTs in terms of advanced software architecture for the management of control networks. Three software components (Installation, Configuration and Testing) based on CS architecture and object‐oriented philosophy have been developed. The components are realised with LON™ (Local Operating Network) platform; a proprietary fieldbus system from Echelon, Microsoft’s Visual Basic‐4 platform and Microsoft’s Windows98 operating system. LON Component Architecture Object Server (LCAOS) serves as the network kernel in this design. The configurable components can be used concurrently for the design of control networks.

To determine gendered patterns of preventive medical care (physical and dental/optical) use among pan-ethnic U.S. Asian and Latino adults.

Using National Latino and Asian American Study (2004) data, we apply Andersen’s (1995) Behavioral Model of Health Services Use to assess how preventive care use among Asian and Latino men and women varies as a function of predisposing, enabling, and need-based characteristics. We explore whether adjustment for these factors mediates gender disparities in both physical and dental/optical check-ups, and test whether certain factors operate differently among men versus women.

A higher proportion of women reported a routine care visit last year, especially among Latinos. Adjusting for predisposing, enabling, and need-based factors explained the gender difference in reporting a dental/optician check-up, but not a physical check-up, among both Asian and Latino adults.

Our findings illustrate how gender patterns in routine care use differ by race/ethnicity, and highlight the fundamental importance of enabling characteristics (especially health insurance and having a regular doctor) for shaping routine care use between men and women, both Asian and Latino. Limitations of this chapter are that the data are cross-sectional and were collected before the implementation of the Affordable Care Act, and measures are self-reported.

This chapter focuses on Asian and Latinos because they represent the fastest growing minority populations in the United States, yet few studies have evaluated gender differences in preventative health care use among these groups.

This study examines the role of monetary and fiscal policies in shaping innovation for a balanced panel sample of seven emerging and five advanced Asian economies.

Using the Driscoll–Kraay estimator as a baseline technique and panel-corrected standard errors and kernel-based regularised least squares as robust methods, this study explores the factors that influence innovation in both emerging and advanced Asian economies from 1990 to 2021. Based on the Morgan Stanley Capital International categorisation, this study has used a sample of seven emerging and five advanced Asian nations to empirically understand the factors shaping innovation.

The findings indicate that broad money and economic growth have positive effects on innovation, whereas tax revenue, governance quality and economic globalisation indicate negative effects in emerging Asia. The findings further indicate that tax revenue, economic growth, governance quality and economic globalisation favour innovation in advanced Asia. The authors also find an adverse impact of broad money on total innovation in advanced Asia.

These findings are quite helpful for the stakeholders and policymakers looking for efficient and long-lasting innovation initiatives.

The purpose of this study is to examine how renewable energy consumption moderates the relationship between inequality and carbon dioxide (CO₂) emissions for Brazil, Russia, India, China and South Africa (BRICS). The nexus between energy use and geopolitical tensions has also been explored.

This study has used distinctive data sets from 1990 to 2018 to explore the interconnections on emission, energy use, inequality and geopolitics. To do away with the difficulties related to heterogeneity and cross-sectional dependence (CD), this paper uses recent estimation methods that are robust to panel heterogeneity and CD.

The results of the panel augmented mean group (AMG) estimation and common correlated effects mean group (CCEMG) estimation verify the environmental Kuznets curve. The findings show that a 1% rise in Gini inequality leads to a 0.24% rise in the CO₂ emission (AMG) method and a 0.17% rise in emissions CCEMG (method). As far as the moderating impact of renewable energy upon Gini measure of inequality is concerned, it is −0.10 AMG and CCEMG methods of estimation, respectively. However, the moderating impact of renewable energy on the geopolitical index leads to a mitigating impact on CO₂ emissions, 0.55% decline in AMG method.

This research makes a distinctive contribution by investigating for the first time to the best of the authors’ knowledge the main pillars of sustainable ecological development in the context of the BRICS nations.